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Health measurement in population surveys: combining information from self-reported and observer-measured health indicators

Ploubidis, George and Grundy, Emily (2011) Health measurement in population surveys: combining information from self-reported and observer-measured health indicators. Demography, 48 (2). pp. 699-724. ISSN 0070-3370

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Identification Number: 10.1007/s13524-011-0028-1

Abstract

Our primary aim is to develop and validate a population health metric for survey-based health assessment that combines information from both self-reported and observer-measured health indicators. A secondary objective is to use this index to examine gender and socioeconomic differentials in the health status of older people. We use data from the second wave of the English Longitudinal Study of Ageing (ELSA) conducted in 2004 (N = 8,870). Information from three observer-measured and three self-reported health indicators was combined, using a latent variable modeling approach. A model that decomposed the manifest health indicators to valid health, systematic error, and random error was found to fit the data best. The latent health dimension represented somatic health, and was tested against three external criteria: height, waist-hip ratio, and smoking status. We present the Latent Index of Somatic Health (LISH), as well as a procedure for deriving the LISH in surveys employing both self- and observer-measured health indicators. Observer-measured and self-reported indicators were found to be equally biased in indexing population somatic health, with the exception of self-reports of functional limitations, which was the most reliable somatic health indicator. As expected, results showed that women had worse health than men and that socioeconomic advantage is associated with better somatic health.

Item Type: Article
Official URL: http://link.springer.com/journal/13524
Additional Information: © 2011 Springer, Part of Springer Science+Business Media
Divisions: Social Policy
Lifecourse, Ageing & Population Health
Subjects: H Social Sciences > HM Sociology
H Social Sciences > HN Social history and conditions. Social problems. Social reform
R Medicine > RA Public aspects of medicine
Sets: Departments > Social Policy
Research centres and groups > ALPHA (Ageing, Lifecourse and Population Health Analysis)
Date Deposited: 29 Oct 2013 09:55
Last Modified: 20 Jan 2020 04:31
URI: http://eprints.lse.ac.uk/id/eprint/53850

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